Copula-Based Joint Flood Frequency Analysis: The Case of Guder River, Upper Blue Nile Basin, Ethiopia by Mesfin Mamo Haile, Rakesh Khosa, Asnake Kassahun Abebe, Ayansa Teshome Gelalcha, Abera Misgana Tolera

“…The univariate analysis of hydrological extremes is a well-established practice in developing countries such as Ethiopia. …”
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Dynamic soil columns simulate Arctic redox biogeochemistry and carbon release during changes in water saturation by Erin C. Berns-Herrboldt, Teri A. O’Meara, Elizabeth M. Herndon, Benjamin N. Sulman, Baohua Gu, Dawn M. Klingeman, Kenneth A. Lowe, David E. Graham

“…Abstract Thawing Arctic permafrost can induce hydrologic change and alter redox conditions, shifting the balance of soil organic matter (SOM) decomposition. …”
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Effects of Air Temperature and Precipitation on Soil Moisture on the Qinghai-Tibet Plateau during the 2015 Growing Season by Qingyan Xie, Jianping Li, Yufei Zhao

“…The Qinghai-Tibet Plateau (QTP) holds massive freshwater resources and is one of the most active regions in the world with respect to the hydrological cycle. Soil moisture (SM) plays a critical role in hydrological processes and is important for plant growth and ecosystem stability. …”
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Facteurs d’influence des choix résidentiels en zone inondable dans le cinquième arrondissement communal de Niamey by Adam Abdou Alou

“…Based on a qualitative survey of real estate professionals, risk managers, local elected officials and residents, the study highlighted socio-economic factors and the reasons why residents choose to live in a flood area while being exposed to following extreme rainfall and hydrological events.…”
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Les variations récentes (1975-2000) de l’englacement dans le Massif de l’Aconcagua (Mendoza, Argentine) by Etienne Cossart, Julie Le Gall

“…The disappearance of glaciers may modify hydrological regimes. The discharge is currently at maximum during summer (related to glacier melt), but the peak discharge may occur during spring (related to snow melt) in the next future. …”
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On the factors and the degree of their effect on subglacial melt and changes in the state of Antarctic subglacial lakes by Alina Boronina, Sergey Popov, Gang Qiao

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Assessment of Cumulative Impacts of Climate Change and Land Use Change on Runoff Variations in Source Area of Yellow River by LIU Zhuangtian, CHEN Ruizhi, WANG Wei

“…The attribution of runoff variations is a key scientific issue for the understanding of the hydrological cycle.The traditional Budyko framework focuses on the comparison of two periods and lacks a description of the cumulative effects of influencing factors.Taking the key hydrological stations in the source area of the Yellow River as an example,this study adopts the Budyko framework based on time-varying parameters to analyze the cumulative impacts of climate change and land use change on runoff variations in the source area from 1960 to 2016 and reveal the internal mechanism of runoff variations.The results indicate that there is no significant change in the annual runoff of the Jimai Station in the source area of the Yellow River,but the annual runoff of Maqu and Tangnaihai Stations decreases significantly.The impacts of climate change on runoff for the three stations fluctuate over time:Due to climate change,the runoff increases from 1973 to 1990 and after 2004 but decreases from 1991 to 2003,with the cumulative impact value of climate change reaching its maximum in 1990 (above 15 mm) and its minimum in 2003 (-10.85 mm,-20.91 mm,and -21.66 mm for the above three stations,respectively).Except for some periods of the Jimai Station,the runoff is all reduced due to land use change,and the final values of the cumulative impact of land use change on the three stations are -9.17 mm,-32.09 mm,and -31.65 mm,respectively.Climate change plays an important role in runoff variations at the Jimai Station,while land use change has a greater cumulative impact on Maqu and Tangnaihai Stations.…”
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Determination of radon source in basaltic groundwater, using geochemical tracers and chemometric statistical analysis by Jim Stanley, Lucy Reading

“…Chemical tracers were used to explore hydrological connectivity between the basalt formation and the underlying rhyolite formation. …”
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Wavelet Decomposition-Based AVOA-DELM Model for Prediction of Monthly Runoff Time Series and Its Applications by ZHANG Yajie

“…For the improvement in prediction accuracy of monthly runoff time series,a prediction model is proposed,which combines the wavelet decomposition (WD),African vultures optimization algorithm (AVOA),and deep extreme learning machine (DELM),and it is applied to the monthly runoff prediction of Yale Hydrological Station in Yunnan Province.Specifically,WD decomposes the time-series data of monthly runoff to obtain highly regular subsequence components,and AVOA is employed to optimize the number of neurons in the hidden layers of DELM;then,the WD-AVOA-DELM model is built to predict each subsequence component,and the prediction results are summated and reconstructed to produce the final prediction results of monthly runoff.Meanwhile,models based on the support vector machine (SVM) and BP neural networks are constructed for comparative analysis,including WD-AVOA-SVM,WD-AVOA-BP,AVOA-DELM,AVOA-SVM,and AVOA-BP models.The results reveal that the average absolute percentage error of the WD-AVOA-DELM model for the monthly runoff prediction of Yale Hydrological Station is 3.02%;the prediction error is far less than that of WD-STOA-SVM and WD-AVOA-BP models,and the prediction accuracy is more than one order of magnitude higher than that of AVOA-SVM,AVOA-SVM,and AVOA-BP models.The result indicates that the proposed model has good prediction performance.In this model,WD can scientifically reduce the complexity of runoff series and raise the prediction accuracy;AVOA can effectively optimize the key parameters of DELM and improve the performance of DELM networks.…”
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Enjeux de la Tunisie orientale : un territoire développé et un environnement à protéger by Walid Chouari, Mongi Belarem

“…Three decades in eastern Tunisia, the rise of environmental problems and natural hazards became apparent: erosion, pollution and hydrodynamic and hydrological risks...Without restatement of this trend, the country could enter a downward spiral; losing the assets that make wealth and abandoning a portion of its population live in an evil. …”
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Effects of Canals and Levees in Everglades Ecosystems by Rebecca G. Harvey, William F. Loftus, Jennifer S. Rehage, Frank J. Mazzotti

“…Mazzotti, comprehensively portrays the hydrological and ecological effects of canals and levees within the EPA landscape and considers ways their impacts may be mitigated. …”
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Effects of Canals and Levees in Everglades Ecosystems by Rebecca G. Harvey, William F. Loftus, Jennifer S. Rehage, Frank J. Mazzotti

“…Mazzotti, comprehensively portrays the hydrological and ecological effects of canals and levees within the EPA landscape and considers ways their impacts may be mitigated. …”
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The impact of sound land use management to reduce runoff by Z.A. Buisan, A.E. Milano, P.D. Suson, D.S. Mostrales, C.S. Taclendo, J.G. Blasco

“…This was done through simulation and the comparison of the three land cover scenarios such as 2015 land cover, 2025 projected land cover and desired land use to determine its difference in terms of runoff. Hydrologic Engineering Center-Hydrologic Modeling System was used for simulating runoff. …”
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Comparison of Direct Runoff Hydrographs of Two Ungauged Sub-Basins Using Instantaneous Unit Hydrograph Approach by Hüseyin Akay, Müsteyde Baduna Koçyiğit

“…In order to compare the hydrographs of two sub-basins under similar conditions, hydrologic analysis was performed using the same curve number and precipitation model in HEC-HMS hydrologic model. …”
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Different Flooding Conditions Affected Microbial Diversity in Riparian Zone of Huihe Wetland by Bademu Qiqige, Jingjing Liu, Ming Li, Xiaosheng Hu, Weiwei Guo, Ping Wang, Yi Ding, Qiuying Zhi, Yuxuan Wu, Xiao Guan, Junsheng Li

“…However, the impact of soil hydrological conditions on wetland microorganisms is not well understood. …”
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Investigating surface loading effect on seasonal crustal deformation observed by GNSS in Hong Kong by Hongli Lv, Xiaoxing He, Shunqiang Hu

“…Abstract Surface loading effects related to atmospheric, hydrological, non-tidal ocean, are one of the principal sources of the seasonal oscillations in GNSS time series, and it should be taken into account for improving GNSS accuracy. …”
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DATA VISUALIZATION AS A MEASURE TO IMPROVE THE EFFECTIVENESS OF SURFACE WATER QUALITY ANALYSIS by Ekaterina G. Larina

“…The article shows the possibilities of data visualization for various samples using examples of hydrological and water management information. The efficiency of using some techniques (graphical representation of data, Shewhart control maps, box-and-whiskers diagram, and scattering diagram) for analyzing the results of water quality control of the Moscow river and some of its tributaries is demonstrated. …”

How Likely Is a 100-Year Rainfall Event During the Next Ten Years? by Young Gu Her, William R. Lusher, Kati White Migliaccio

“…This article focuses on rainfall, but its explanations and concepts can be applied to other extreme hydrologic phenomena such as flood and drought. Written by Young Gu Her, William Lusher, and Kati Migliaccio, and published by the UF/IFAS Department of Agricultural and Biological Engineering, March 2018.  …”
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Application of Path Analysis in identification of dominant effective meteorological parameters on ET0 in West Azarbaijan by Yagob Dinpashoh, Masoumeh Foroughi

“…It is one of the most important hydrological parameters for calculating crop water demand, scheduling irrigation systems, preparing input data to hydrological water-balance models, regional water resources assessment, and planning and management for a region and/or a basin. …”
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Application of Regional Climatic Models to Assess the Performance Evaluation of Changes on Flood Frequency in Woybo Catchment, Ethiopia by Tigistu Yisihak Ukumo, Tarun Kumar Lohani, Muluneh Legesse Edamo, Matusal Arja Alaro, Mesfin Amaru Ayele, Habtamu Bogale Borko

“…The impact on flood frequency was evaluated using multiple climate models under RCP4.5 and RCP8.5 emission scenarios for 2020s, 2050s, and 2080s compared to 1976–2005. Hydrologic Engineering Center of Hydrologic Modeling System (HEC-HMS) was used to simulate streamflow after sensitivity analysis, calibration, and validation of the model for the catchment. …”
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